How does it work?
Traditional AI models for voice rely on automatic speech recognition (ASR) to process spoken input before synthesizing it with a language model, which is then converted into speech using text-to-speech (TTS) techniques. However, this process can result in speech that lacks the nuances of human communication, such as tone and emotion.